• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2017, Vol. 38 ›› Issue (4): 135-.doi: 10.3969/j.issn.1000-7229.2017.04.018

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 Game Competition Model of Large-Scale Distributed Energy System and Its Solution Algorithm
 

 ZHU Jiang1, WANG Haichao1, ZHAO Zhenyu1, ZHU Hanchao2

 
  

  1.  1.School of Economics and Management, North China Electric Power University, Beijing 102206, China;
    2. Management Training Center, State Grid Jibei Electric Power Co., Ltd. Beijing 102401, China
  • Online:2017-04-01
  • Supported by:
    Project supported by the Canada-China Scholar Exchange Programme (CCSEP), China Scholoarship Council (201606735039);  Fundamental Research Funds for the Central Universities (2015XS47)
     

Abstract:  ABSTRACT:  Along with the rapid development of distributed energy system, in order to promote the power grid proactively accommodating large scale distributed energy, the game competition model of large scale distributed energy system needs to be established with considering the demands and profits of the users, the aggregators and the power grid companies. According to this complicated multi-objective optimization problem, this paper adopts the sperm whale optimization algorithm (SWA) to analyze the connection and consumption of large scale distributed energy system, which has excellent global search ability and solving efficiency. Meanwhile, a heuristic constraint handling method is employed to improve the processing ability of the algorithm. Finally, this paper simulates and analyzes the game competition model of distributed energy system based on a real distributed energy system. The analysis results show that the optimal electricity price during each period obtained by the proposed model can effectively balance the profits of the users, the aggregators and the power grid, which can realize tripartite win-win cooperation and coordinated development.

 

Key words:  KEYWORDS: large scale distributed energy system, users, aggregator, power grid system, game competition, sperm whale algorithm (SWA)

CLC Number: